Muscope|Risk is a cybersecurity risk analysis platform that uses Deep Learning for Graphs to model and evaluate an organization's cyber risk posture. Data Structure: - Organizational data is represented as a graph, where nodes correspond to company assets and edges represent connections between those assets. - The platform maps relationships between a company's internal assets and external entities such as providers and partners, maintaining a continuously updated view of the organizational ecosystem. Technology and Analysis: - Deep Learning for Graphs is applied to process complex, interconnected datasets, enabling pattern recognition and insight extraction across the graph structure. - The platform performs real-time analysis and continuous learning from new data inputs to track changes in the threat environment. Risk and Threat Anticipation: - By simulating attack and defense scenarios, the platform identifies vulnerabilities and interdependencies within an organization's asset structure. - The platform is designed to support SMEs in understanding their cyber vulnerabilities and preparing proactive defenses. - Graph coverage is progressively expanded across Europe to broaden the scope of analysis.